Csaba Jakab
Impact in
- Animal Science and Zoology top 10%
- Animal Virus Infections Studies
- Biotechnology top 10%
- Microbial Inactivation Methods
Papers in
-
- Veterinary Oncology Research 9
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- Hedgehog Signaling Pathway Studies 4
- Wnt/β-catenin signaling in development and cancer 3
- Co-authors
- Miklós Rusvai (14 shared papers)P. Gálfi (10 shared papers)Gábor Andócs (1 shared paper)Helmut Renner (1 shared paper)Lajos Balogh (2 shared papers)Á. Szász (1 shared paper)Janina Kulka (10 shared papers)Gyula Balka (7 shared papers)
- Journals
- Acta Veterinaria Hungarica (22 papers)Frontiers in Veterinary Science (2 papers)Avian Pathology (2 papers)Journal of Fish Diseases (2 papers)Journal of Veterinary Diagnostic Investigation (1 paper)
- Partner nations
- HungaryUnited KingdomUnited States
In The Last Decade
Csaba Jakab
40 papers receiving 424 citations
Peers
Comparison fields: 5 of 101
- Animal Science and Zoology 69
- Biotechnology 49
- Neurology 42
- Parasitology 27
- Infectious Diseases 74
Countries citing papers authored by Csaba Jakab
This map shows the geographic impact of Csaba Jakab's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Csaba Jakab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Csaba Jakab more than expected).
Fields of papers citing papers by Csaba Jakab
This network shows the impact of papers produced by Csaba Jakab. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Csaba Jakab. The network helps show where Csaba Jakab may publish in the future.
Co-authors
The 25 scholars most cited alongside Csaba Jakab, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 94 | |
| 2 | 2011 | 51 | |
| 3 | 2011 | 34 | |
| 4 | 2013 | 21 | |
| 5 | 2008 | 20 | |
| 6 | 2008 | 18 | |
| 7 | 2014 | 17 | |
| 8 | 2011 | 15 | |
| 9 | 2010 | 14 | |
| 10 | 2011 | 12 | |
| 11 | 2014 | 11 | |
| 12 | 2014 | 10 | |
| 13 | 2012 | 10 | |
| 14 | 2010 | 8 | |
| 15 | 2010 | 8 | |
| 16 | 2012 | 8 | |
| 17 | 2020 | 7 | |
| 18 | 2009 | 7 | |
| 19 | 2010 | 6 | |
| 20 | 2013 | 5 |
About Csaba Jakab
Csaba Jakab is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Neurology, Surgery and Genetics, having authored 42 papers that have together received 433 indexed citations. Recurring topics across this work include Barrier Structure and Function Studies (10 papers), Veterinary Oncology Research (9 papers), Virus-based gene therapy research (5 papers), Animal Virus Infections Studies (4 papers), Hedgehog Signaling Pathway Studies (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Neurological Disease Mechanisms and Treatments (3 papers) and Aquaculture disease management and microbiota (3 papers). The work is most often cited by research in Animal Science and Zoology (69 citations), Biotechnology (49 citations), Neurology (42 citations), Parasitology (27 citations) and Infectious Diseases (74 citations). Csaba Jakab has collaborated with scholars based in Hungary, United Kingdom and United States. Frequent co-authors include Miklós Rusvai, P. Gálfi, Gábor Andócs, Helmut Renner, Lajos Balogh, Á. Szász, Janina Kulka, Gyula Balka, Zoltán Demeter and Míra Mándoki. Their work appears in journals such as Acta Veterinaria Hungarica, Frontiers in Veterinary Science, Avian Pathology, Journal of Fish Diseases and Journal of Veterinary Diagnostic Investigation.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.